Paradigm Memory presents a well-structured MCP server with 25 tools covering a comprehensive memory management domain. Strengths: all tools have descriptive names following verb_noun conventions (memory_search, memory_write, memory_delete); all tool descriptions are substantive (100+ chars) and explain purpose and prerequisites; input schemas are complete with proper JSON Schema format including type definitions, min/max constraints, enums, and patterns for string validation. Weaknesses: (1) output schemas are not explicitly documented in the provided source, the response structure for each tool is unclear, forcing LLMs to reason about returned data; (2) parameter descriptions are minimal in some cases (e.g., 'Optional workspace identifier' appears verbatim across all tools but lacks guidance on when to use workspaces or how they affect behavior); (3) error handling guidance is absent, there is no recovery pattern or actionable error message specification; (4) risk classifications are present (READ_ONLY, WRITE, DESTRUCTIVE, REVERSIBLE) but not surfaced in descriptions; (5) some parameters like 'reason' and 'actor' in memory_review and memory_delete lack descriptions altogether. The tool set demonstrates strong semantic coherence (cognitive map operations, proposed→active→deleted flow, audit trail support) and idempotency patterns (dry_run flags, soft deletes). Average tool definition quality is solid but hampered by missing output documentation and sparse parameter descriptions.

• Add explicit output schema documentation to all 25 tools. Example: 'Returns {nodes: [{id, label, items_count}], evidence: [{score, content}], context_pack: {tokens_used, context}}', this enables LLM composition planning.
• Fill in missing parameter descriptions: document 'reason' (for audit compliance), 'actor' (who initiated?), 'dry_run' (what does a dry run show?), boolean flags (what changes when true vs false?).
• Add recovery guidance to tool descriptions for common failure modes. Example: memory_search: 'If FTS5 query is invalid, try wrapping terms in quotes or remove operators (AND, OR, NOT). Call memory_doctor to check index health if no results.'
• Surface risk classification in tool descriptions. Add preamble: 'Destructive: This operation moves sub-nodes to parent and cannot be undone. Use memory_snapshots first to create a backup.' for memory_delete_node.
• Create a workspace primer paragraph for documentation, then link from all 25 tools instead of repeating boilerplate. Explain isolation model, when to create workspaces, default workspace behavior.
• Document the propose→review→active workflow chain. Add to memory_propose_write: 'Proposed items are excluded from search. Call memory_list_proposed to see pending items, then memory_review to accept or reject each one.' Add reciprocal links in memory_review and memory_list_proposed.
• Clarify snapshot file format, compression, and storage location. Example: 'Exports to a .brain file (JSON + optional GZIP). Stored relative to output_path parameter. Use .brain extension for consistency with memory_snapshots list.'